Verification of the performance of the high resolution QPF model for heavy rainfall event over the Korean Peninsula

2010 ◽  
Vol 46 (2) ◽  
pp. 119-133 ◽  
Author(s):  
Ok-Yeon Kim ◽  
Jai-Ho Oh
Keyword(s):  
High Resolution ◽  
Korean Peninsula ◽  
Heavy Rainfall ◽  
Rainfall Event ◽  
Heavy Rainfall Event

scholarly journals Role of land state in a high resolution mesoscale model for simulating the Uttarakhand heavy rainfall event over India

2016 ◽  
Vol 125 (3) ◽  
pp. 475-498 ◽  
Author(s):  
P V Rajesh ◽  
S Pattnaik ◽  
D Rai ◽  
K K Osuri ◽  
U C Mohanty ◽  
...  
Keyword(s):  
High Resolution ◽  
Heavy Rainfall ◽  
Mesoscale Model ◽  
Rainfall Event ◽  
Heavy Rainfall Event

Simulation of a heavy rainfall event during southwest monsoon using high-resolution NCUM-modeling system: a case study

2018 ◽  
Vol 131 (4) ◽  
pp. 1035-1054 ◽  
Author(s):  
Devajyoti Dutta ◽  
A. Routray ◽  
D. Preveen Kumar ◽  
John P. George ◽  
Vivek Singh
Keyword(s):  
High Resolution ◽  
Heavy Rainfall ◽  
Southwest Monsoon ◽  
Rainfall Event ◽  
Heavy Rainfall Event ◽  
System A

scholarly journals Mesoscale and Local Scale Evaluations of Quantitative Precipitation Estimates by Weather Radar Products during a Heavy Rainfall Event

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Basile Pauthier ◽  
Benjamin Bois ◽  
Thierry Castel ◽  
D. Thévenin ◽  
Carmela Chateau Smith ◽  
...  
Keyword(s):  
High Resolution ◽  
Heavy Rainfall ◽  
Rain Gauge ◽  
Local Scale ◽  
Rainfall Event ◽  
Heavy Rainfall Event ◽  
Preliminary Evaluation ◽  
Rainfall Variation ◽  
Hourly Rainfall ◽  
Rain Gauge Network

A 24-hour heavy rainfall event occurred in northeastern France from November 3 to 4, 2014. The accuracy of the quantitative precipitation estimation (QPE) by PANTHERE and ANTILOPE radar-based gridded products during this particular event, is examined at both mesoscale and local scale, in comparison with two reference rain-gauge networks. Mesoscale accuracy was assessed for the total rainfall accumulated during the 24-hour event, using the Météo France operational rain-gauge network. Local scale accuracy was assessed for both total event rainfall and hourly rainfall accumulations, using the recently developed HydraVitis high-resolution rain gauge network Evaluation shows that (1) PANTHERE radar-based QPE underestimates rainfall fields at mesoscale and local scale; (2) both PANTHERE and ANTILOPE successfully reproduced the spatial variability of rainfall at local scale; (3) PANTHERE underestimates can be significantly improved at local scale by merging these data with rain gauge data interpolation (i.e., ANTILOPE). This study provides a preliminary evaluation of radar-based QPE at local scale, suggesting that merged products are invaluable for applications at very high resolution. The results obtained underline the importance of using high-density rain-gauge networks to obtain information at high spatial and temporal resolution, for better understanding of local rainfall variation, to calibrate remotely sensed rainfall products.

scholarly journals Ensemble Sensitivity Analysis of the Heavy Rainfall Event Occurred on 6th August 2003 over the Korean Peninsula

Atmosphere ◽  
2013 ◽  
Vol 23 (1) ◽  
pp. 23-32
Author(s):  
Namkyu Noh ◽  
Shin-Woo Kim ◽  
Ji-Hyun Ha ◽  
Gyu-Ho Lim
Keyword(s):  
Sensitivity Analysis ◽  
Korean Peninsula ◽  
Heavy Rainfall ◽  
Rainfall Event ◽  
Heavy Rainfall Event

Assimilation of GPS Radio Occultation Refractivity Data with WRF 3DVAR and Its Impact on the Prediction of a Heavy Rainfall Event

2014 ◽  
Vol 53 (6) ◽  
pp. 1381-1398 ◽  
Author(s):  
Ji-Hyun Ha ◽  
Gyu-Ho Lim ◽  
Suk-Jin Choi
Keyword(s):  
Data Assimilation ◽  
Korean Peninsula ◽  
Heavy Rainfall ◽  
Radio Occultation ◽  
Rainfall Event ◽  
Moisture Distribution ◽  
Precipitation Forecast ◽  
Specific Humidity ◽  
Heavy Rainfall Event ◽  
Gps Radio Occultation

AbstractTo accommodate accurate analyses and forecasts of a heavy rainfall event over the Korean Peninsula, the authors assimilated the GPS radio occultation (RO) data by using the Weather Research and Forecasting Model (WRF) and its three-dimensional variational data assimilation system (3DVAR). The employed datasets are from the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) and Challenging Minisatellite Payload (CHAMP) missions. The selected case was from late October 2006, which intensively hit the northeastern part of the Korean Peninsula with record-breaking rainfall. In this study, the local refractivity observation operator was used in assimilating GPS RO soundings. The results are more pronounced for the cycling assimilation of GPS RO data than for the one-time data assimilation. From all of the parameters investigated (temperature, geopotential height, specific humidity, and winds), the GPS RO soundings highly modified the moisture distribution in the lower troposphere and also changed the wind field via the model dynamics. For the heavy rainfall forecast, the quantitative accuracy of the precipitation forecast with the GPS RO data assimilation was in good agreement with observations in terms of the maximum rainfall amount and threat scores. The improved forecast in the experiment came from the exact positioning of the low pressure system and its consequent convergence near the rainfall area. When RO data and GPS precipitable water data were assimilated simultaneously, the moisture distribution changed horizontally and vertically such that it increased the amount of rainfall, and an accurate description of the convective system development was feasible.

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